Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.6 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DERNIES Michel | 75 |
| 3 | FONDRIEST Maurizio | 70 |
| 8 | GAYANT Martial | 69 |
| 9 | JALABERT Laurent | 66 |
| 12 | RUÉ Gérard | 74 |
| 13 | JÄRMANN Rolf | 73 |
| 14 | ROCHE Stephen | 74 |
| 16 | ELLIOTT Malcolm | 76 |
| 17 | BOURGUIGNON Thierry | 72 |
| 24 | ARROYO Miguel | 59 |
| 29 | HOLM SØRENSEN Brian | 77 |
| 31 | BORTOLAMI Gianluca | 73 |
| 38 | BÖLTS Udo | 73 |
| 39 | NEVENS Jan | 58 |
| 43 | SKIBBY Jesper | 70 |
| 53 | ARNTZ Marcel | 70 |